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disease which combines behavioral and genetic models, metabolic, neuroendocrine and imaging techniques in living animals as well as sophisticated molecular and structural biology analyses of neuropeptides
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multiphase flow in porous media. 80% - Applying numerical and analytical infiltration models to quantify groundwater recharge potential under varying hydrogeologic conditions. In parallel, the researcher will
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, Molecular Biology, or a closely related biomedical field • Experience with retinal immunopathology, photoreceptor biology, or RPE-related degenerative disease models • Demonstrated expertise in retinal
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publications • Excellent communication (verbal and written) Preferred Qualifications: • Experience with neurodegenerative disease models is preferred but not required. Job description: We are seeking a highly
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analysis of data including measures of pupil dilation, microsaccades, and behavioral measures of speech perception. Experience with data collection and statistical modeling of time-series data are essential
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our ongoing research, our department members contribute to the growing understanding of how students learn; through their teaching and outreach, we model the implementation of evidence-based educational
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Dr. Shen Cheng and his internal/external collaborators. The research will primarily focus on implementing and developing innovative pharmacometric modeling approaches for pharmacokinetic
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for the purpose of lung-directed gene. The research addresses several important drawbacks in AAV-based gene therapy such as vector efficiency to transduce lung epithelial and basal cells, pre-existing and therapy
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Qualifications PhD in cell biology and biophysics. Training and/or experience in handling of purified proteins, computational analysis and modeling in MATLAB, stem cell differentiation and tissue culture, confocal
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neuroplasticity using rodent models. Concurrent research lines exploring the intersection of sex hormone signaling and respiratory neuroplasticity in aging, spinal cord injury, and stress models offer multiple